Learn Real Emotions.

Harness the power of online conversations

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Cover All Channels

talkAItive covers all possible spots where you customer is talking about you E.g. social web, forums, NPS reviews and more.

Fast Analysis For LIVE Monitoring

Process 1500 reviews every two minutes to get sentiment, emotional contexts, location based analysis and more.

Globally Leading Accuracy

Our tests have shown that our sentiment analysis leads globally in accuracy based on dynaSent test, which is the toughest one for NLP assesement.

You Cover All Channels

Use talkAItive to search the internet for public data in forums, social media, online reviews - anywhere users are expressing opinions or sentiments.

Accurate And Quick Analysis

You get a unique view of the emotions and sentiment surrounding online activities related to your brand. This adds a new dimension to your social listening by pairing a qualitative read of online activity.

You Compare Competition

You can see how people talk about you compared to your competitors. Now all the hot button topics and differentiators between you and your competitor brands become clear and you can now appeal to your customers on their terms to grow your brand.

You Continuously Learn

Monitor the sentiment and emotional feedback connected to your brand. You get emotional context trends which helps you see actual emotional topics which gain or lose steam over time.

You Search Emotionally

You can search using any keyword of interest and talkAItive allows for deep dives into collected chatter that can then be filtered by source, emotion or keywords. Used alongside a quantitative listening platform, you'll see your consumers online behaviours in ways never seen before.

You Engage

Craft highly resonant messaging using the sentiment, the emotional drivers, behind online comments related to your brand. You target communities of like-minded consumers who share similar interests and behaviors as your existing ones.

How it works

You define learning goals with a set short phrases and talkAItive's patent pending engine finds related emotional contexts

Sentiment Analysis

Classify emotion using deep learning stack detecting emotions. Predict sentiment via multi-model fuzzy stack.

Map Emotional Contexts

Build semantically related set of phrases using fine tuned deep graphs. Select top "candidate contexts" with max representational value.

Rank Emotional Contexts

Rank "candidate phrases" based on relevancy and emotional intensity scores.